The future is coming faster than we think

 I’ve just finished belatedly reading An Optimist’s Tour of the Future by Mark Stevenson. I say “belatedly” as it was written in 2011 which wouldn’t normally be a problem except that this is about accelerating future technologies (and why they are going to be good for us).

It was a very good read, but already there are signs it is getting dated. Take this example. He’s meeting Ray Kurzweil who is telling him about exponential growth in technologies, which he argues can allow us to make pretty accurate forecasts of the future. Noting that some critics believe Kurzweil is either delusional or mad he discusses the forecasts which Kurzweil made in his 1999 book The Age of the Spiritual Machines about the technology which would be available in 2009. Kurzweil himself says, of the 108 predictions, 89 turned out to be correct, 13 are “essentially correct”, three are partially correct and two are 10 years off.

Stevenson makes his own tally. He concludes he got nearly two thirds right. Of the rest he put half in the “sort of right” category (it came true but not quite as Kurzweil anticipated).

The remainder are ‘wrong’ but only in that Ray was optimistic on the time frame. For instance, critics tend to leap on his prediction that ‘translating telephone technology (where you speak English and your Japanese friend hears Japanese, and vice versa) is commonly used,’ which hasn’t happened.”

Except of course that by the time I’m reading this it now has come true.

And this brings me to my point. When you are in the middle of things it is often very hard to accept that advances are happening quite as fast or quite as disruptively (a point Stevenson makes, too). It’s all too easy, if you earning a good wage working for a large, profitable company, for example, to dismiss warnings such as this, also from the book:

“John is speaking with some urgency now. ‘The old-age companies don’t know why they have to run faster in order to lose more slowly,’ he says, laughing. ‘All the practices of those companies are exactly the practices that keep you from being able to engage in the world of fast-paced innovation. They have routines and beliefs built on the assumptions of stability. Almost any company that’s more than twenty years old isn’t built right for this. In fact, I would argue that companies that are five years old aren’t ready either.’”

That fact that ‘John’ is John Seely Brown, formerly director of PARC (the Palo Alto Research Center) which famously invented laser printing and the mouse, should give us pause. The fact that in five years Kurweil’s “wrong” forecast has turned out to be true should also.

As Stevenson himself says: “I have to make peace with the fact that this book is already a historical document. It’s less a posed portrait, more a blurred snapshot”

Bots are a transitional technology

Yesterday Facebook announced, as predicted, the launch of a range of tools to facilitate the development of “bots” on its Messenger platform. The argument being made far and wide is that bots are a replacement for apps which have become so numerous that their usefulness to users is plunging and most developers are no longer making any money. 

It’s easy to see why Facebook is so interested. Unlike Apple or Google they don’t have a hardware and operating system platform with which to “own” the customer. Facebook needs to make its apps perform this function and bots give it the chance to make Facebook, and specifically Messenger, much more useful and immersive and in the process make hardware and operating systems much less significant. 

But bots are only a transitional technology. The holy grail (told to me over 20 years ago by the head of Microsoft Research and still true today) is the Star Trek Computer. The film Her is the best modern take on that vision. That’s why Google (with Now), Apple (with Siri) and Microsoft (with Cortana) and even Amazon (with Alexa) have been pouring so much time and money into developing competent AI-driven assistants.

But the technology still falls short of the vision, so in meantime we will have bots – highly specific and constrained AI-driven chat bots which aim to do one thing (booking a hotel room or flight for instance) very well and reliably. 

They will undoubtedly be a huge success – WeChat in China has already demonstrated that quite clearly. This post from Andreessen Horowitz has the best account I’ve found. How long the success will last rather depends on how quickly the more general AI being developed by Google, Apple et al gets good enough. Expect them to develop bot platforms of their own, but also to amp up their own investment in generalized AI. We all still really want the Star Wars computer, after all. 

Why Musk will get it right with the Tesla 3

  Tesla made headlines last week when the launch of the much-awaited Tesla 3, the economy-priced electric car for the masses, garnered 325,000 pre-orders at $1,000 a pop in the very first week. Some are pointing out that Tesla has missed a lot of deadlines along the way and that the success of the 3 is by no means assured. 

But yesterday we saw the first successful landing of a Falcon 9 rocket at sea. The previous attempts all failed for one reason an another, but this was the point; Musk is a physicist by training and temperament and he knows that doing hard things needs a lot of experimentation. And experimentation means failure. And failure is good because it shows you want needs to change to succeed in the end. 

Tesla may have missed a lot of deadlines in the past but with each model the performance has been better. One thing is for sure; Tesla has been learning hard and fast about what it takes to make a successful mass market electric car. 

The era of emulation and what it means for us

Robin Hanson
Robin Hanson

What is the next phase for humanity? Robin Hanson set out to answer this question in a thought-provoking and lively talk to London Futurists on March 19th.

He argues that humanity has been through several distinct economic growth phases each of which has been “exponential” in character. The first lasted nearly 200,000 years from the moment Homo Sapiens first emerged as hunter-gatherers. These early humans were vastly superior to the animals they replaced, successfully exploiting their environment through the use of organisation and tools. The next economic era began with the arrival of agriculture about 10,000 years ago and brought about a huge acceleration in development, with efficient use of labour and larger and more sophisticated societies. This ended with the birth of the third era, the industrial era, which started around 1760. Again, an exponential increase in economic output and efficiency. This gave way to the computer age in which we currently are. The exponential periods of these eras has been becoming shorter and shorter with world GDP doubling roughly every 15 to 20 years today.

What, Hanson asked, could create an economy which doubles every week or month?

And the answer he comes up with is – robots.

What Hanson means by “robots” is true general artificial intelligence and he argues there are three ways to do this: better software, a comprehensive theory of intelligence, or emulating a human brain.

And it is his belief that the most likely scenario is that we will first develop the capacity to emulate a human brain and that this should happen “sometime in the next century”.

All we need, he argues, are “many parallel computers” which are capable of scanning a human brain, modelling every brain cell type and recording what we see and then “running the model”.

This doesn’t mean we need to understand how a brain works – he thinks we may be centuries away from this. But we would be able to run what he calls “EMs” – short for emulations.

If we had them there would be a new age – the age of EM.

It is this new era, then, that he sets out to describe. Running in software, EMs are effectively immortal -“like houses and cars, if we choose”. But it’s unlikely EMs will choose to be – much more likely that they will spawn short-lived versions of themselves to carry out repetitive or one-off tasks and then shut these down when they have served their purpose.

The new age will have new morals – EMs will probably be OK with termination and respooling.

Partly this is simply a result of obsolescence – “Currently if the economy doubles every 15 years your skills as an individual become obsolete in that time.” This is why we retire and let the next generation learn the next set of skills. “In the world of the EM faster emulation means faster obsolescence.”

They will run faster because, even though these new consciouses are essentially human brains, “human brains are parallel so more hardware means more speed.” And they will take up very little space as they only really need to inhabit robot bodies when they need to do something in the physical instead of the virtual world. Hanson believes most of the time they will inhabit a purely virtual environment.

Hanson sees the birth of EMs as inevitable – they will be developed to speed economic development. And in the early days humans will own the EMs – much like slaves were owned. But just like slaves, some EMs will “buy” their freedom and from there they will quickly make up more and more of the economy (which may now be doubling in a matter of weeks or days).  Because they are so cheap to create (an EM could be copied millions of times at very little cost) and because they cost so little to run he says wages will effectively fall to way below human subsistence wages.

Humans will be eclipsed. The whole human race will retire.

Whether that retirement is a happy or a tragic one is very much up to us, he believes, as we will be quite rich enough as a whole to ensure a good outcome, although those riches will be extremely unequally distributed.

But either way, we might be retiring into a very different world. “Robots don’t need nature” he says. “They may choose to save nature but don’t need to.”

And if we are thinking all this doesn’t sound too good, and that we humans are bound to resist, he doesn’t really buy the “robot wars” scenario, either. “There wasn’t a farmer-industry war during the switch to the industrial era.”

So if this new era could begin soon, how long will it last? Hanson believes that because EMs will be running so fast the whole era could last just a couple of years. After that, maybe they will develop true software AI which will spawn the next era – who knows….

Robin Hanson is an associate professor of economics at George Mason University and a research associate at the Future of Humanity Institute of Oxford University.

More promise for solar breakthroughs

Sample 3D Modules
Sample 3D Modules Credit: Allegra Boverman

The 3D solar towers being developed by MIT illustrate just how much further we have to go in stretching the still new technology of solar power. These experimental towers are up to 20 times as efficient as today’s flat roof panels.

If the British Government needed any further evidence that the plans for Hinkley Point are misguided, this should give them pause. Guaranteeing to pay three times today’s price for electricity for the next 30 years against a backdrop of dramatic increases in efficiency of solar power (which has already reached price parity in many places at today’s prices) is lunacy.

I would be tempted to conclude that the decision is ideological, but I just can’t see how a Conservative government getting into bed with a French state utility and the Chinese Government to make their white elephant a reality gels with the Conservative free market philosophy. Perhaps it is simply that having large grey boxes hidden away on the coasts are easier on the eye than rooftop solar panels and windfarms? Who knows.

Future Shock

There was a very perceptive article in the current issue of the Economist which argued, basically, that Moore’s Law is in sight of breaking down. The result, though, is maybe not what you might think. Progress may not necessarily just get slower; it is more likely to be much, much more unpredictable.

The reasons, according to the Economist are because these days there is so much more that is important than just the single chip in a single computer, among them the role of software, the cloud and new, specialised architectures optimised for particular tasks.

I think we can see some of this unpredictability unfolding in front of our eyes as Google’s Go-playing computer AlphaGo has beaten Lee Sedol, ranked number 4 in the world, in the first two of their best-of-five series. Go is seen as a special challenge to AI because it is very much more complex than chess and a “brute force” approach won’t work.

The really interesting thing about this match is that it was generally thought we were 10 years away from building a computer which could win at Go. AlphaGo surprised the world back in October last year when it won against Fan Hui who is ranked 633rd in the world. What has taken Lee Sedol by surprise is how much better the program has become since – we was apparently quite certain he could beat it.

Hold on to your seats – we could be in for some really quite startling surprises in the coming months and years.

 

 

The industries of the future

The question Alec Ross set out to answer at the RSA today was: “If the last 25 years shaped by Internet, what comes next?” Industries of the Future His book The Industries of the Future addresses the question more fully, but for the audience today he focussed on two examples: robots and AI, and genomics.

He began, though, with central thesis: if land was the raw material of agricultural age and iron the raw material of the industrial age, then data is the raw material of the information age.

“We now live in the age of zettabyte, he said. “90% world’s data has been produced in the last two years.” There are now 16bn internet connected devices and by 2020 that number will have grown to 40bn. “Harvesting of actionable business or medial intelligence from this data will create the trillion dollar industries of the future.”

But now for the two example industries of the future.

” The cartoons of the 70s will be the reality of 2020s,” he argues. One of the key advances is the fact that we finally seem to have cracked the problem of robots grasping – a surprisingly difficult task, he says. The other is the advent of “cloud robotics”. This means robots don’t have to be packed with hardware and software if they are connected to the cloud. “We don’t have to invent millions of very clever robots.”

He uses the example of Foxconn, the Chinese giant responsible for vast numbers of iPhones and Samsung Galaxies. Foxconn is a poster child for globalisation with 973,000 employees in China. But the ceo says he’s not going to hire any more people and instead is now buying $14k robots. He argues humans are “CAPEX-light, but OPEX-heavy” whereas robots are the opposite.

This is the start of a profound trend. “Cloud robotics coupled with rise of AI will mean a move to non-routine and cognitive work.”

The second industry of the future he focussed on is the commercialisation of genomics. “It has been 15 years since the first mapping of human genome and finally we are now within two or three years” of really beginning to reap the benefits he says. Diagnostic test are now in development with are over 100 times more sensitive than MRI scanning, holding out the prospect that we could have an annual blood test which could detect virtually all cancers at stage 1, when they are eminently curable, he predicts.

However, all these advances come with “promise and peril”.

“Tomorrow will be better than today for most of us. But you have to be pretty clever to navigate your way through with the pace of change increasing all the time.”

There were other topics which came up in the Q&A on which he had salient views:

 

Cyber security: “Weaponisation of code is the most signification development since the weaponisation of atoms. The difference is weaponisation of code is much easier. Once it is done it can be copied. I have a very dark view – the threat from cyber weapons is closer than that of nuclear weapons.”

The importance of gender equality:  “There is a correlation between women on board and economic performance,” he said, citing a study from the Peterson Centre for International Economics.

Economics: “This the the key question,” he said.  The problem dynamic is “bounty and spread”. When Instagram was sold to Facebook for $1bn it had only 20 employees. Kodak, which went bust at pretty much the same time, had 120,000 employees. When we create these internet billionaires we have a “corresponding obligation to use the resources of the plutocrats to avoid creating a violent under-privileged underclass”.

R&D: “Those states and societies (like Russia) which have dialed R&D down are saving money in the short term but killing themselves in the long run.” China, he says, is being smart. “They believe they missed out on the commercialisation of the Internet and they are putting a spectacular amount of investment in genomics and clean tech” so they don’t miss out of these coming revolutions.

 

Loss aversion and the EU referendum

eu-union-jack-flagsGiven the prevalence of the “loss aversion” cognitive bias, it should in theory be highly unlikely that the British population votes to leave the EU. As a refresher, here’s how Wikipedia defines it:

In economics and decision theory, loss aversion refers to people’s tendency to strongly prefer avoiding losses to acquiring gains. Most studies suggest that losses are twice as powerful, psychologically, as gains

The “out” camp have to persuade the electorate that leaving the EU will result in upside for them and the country. The “in” camp on the other hand need to focus on the benefits of the status quo and the risk of downside to the electorate and the country from leaving. Given the mechanics of loss aversion it should be very much easier for the latter than the former, especially against the backdrop of a split electorate.

Network Society: the coming socio-economic phase transformation

The world is headed for a big transition, says David Orban, entrepreneur and Singularity University faculty member, speaking at a London Futurists lecture in London on February 6th.

“Technology created humans,” he says. “And we continue to use reason to advance technology for humanity’s benefit.” But the key to the future wellbeing of society lies in practicing open science and having an open society, he says.

David Orban
David Orban

Historically we are always “shackled to moral norms by limitations of technology” he says. For example we had child labour because our technology wasn’t good enough to run industrial revolution mills without them. We had slavery because our agricultural and engineering techniques were running behind our economic development.

Now we destroy the environment because it is deemed necessary in order for economies to grow and citizens to consume. Once these ills become untenable, necessity drives alternatives, he says.

Widespread social and cultural change only happens once a robust technology platform underpins them

The networked exponential technologies which are coming next are going to profoundly disrupt the Nation State, he argues.

Solar panels are a good example. When people put solar panels on their roofs they make lots of small decisions, each of which doesn’t cost much. When the State makes energy decision for the country it is done by one big, long term centralised project (think Hinkley Point). The opportunity to call the future wrong is vastly more in the second case than the former.

Another example is 3D printing. This can stop waste from centralised manufacturing getting it wrong but distributes power to the consumer.

And growing food hydroponically in the basement of apartment blocks, reduces waste by bringing food production close to the consumer, using exact quantities of nutrients and light and heat, and growing year-round.

And there are lots more examples, he says:

  • Health sensors keeping people healthy
  • MOOCs educating people wherever they are
  • Crypto currencies reducing the cost of transactions and challenging the power of the banks
  • Even Airbnb competing with security agencies through “a self-reinforcing reputation system which expels from the network if breached”

All such examples are inevitably portrayed as passing fads, he says, but they are in fact part of unstoppable trend.

In this environment exponential technologies lead to exponential uncertainties, he says. There is great value for those whose get it right.

The next trillion dollar companies are being born right now

What has to happen next, he argues, is for computers to be allowed to make decisions by themselves. The world is rapidly become too complex and fast-moving for humans to be the only decision-makers. The LHC, for example, throws away 99% of data itself because it knows it is of no value and the human scientists would become overwhelmed. “Self-driving cars need to make their own decisions.”

Dumb machines must lose and smart machines must win

The idea that it is essential for humans to have the last word was fatally undermined when Andreas Lubitz decided to deliberately fly Flight 9525 into a mountainside, he says. “Planes must be able to disobey and save their passengers.”

But for computers to make decision we need to make them moral. We have a “cosmic responsibility to adapt and face our challenges” he says. We need a global network of ideas which can evolve scaleable solutions. First there will be a science of morality then we will need to engineer morality into our machines. It is, he says, inevitable.

The promise of the fully networked society is great, but the outcome isn’t a given.  “It is up to us whether this phase transition will be peaceful or not”, he says. The current levels of inequality will be just the start unless we meet the challenge to change society so that everyone can enjoy the coming benefits. “We cannot continue vilify the unemployed as we do now,” he says, because in the future we all will be unemployed.

David Orban is an entrepreneur, a member of the Faculty of, and Advisor to the Singularity University, and the Founder of Network Society Research, a London based global non-profit.

How smart is the Smart Keyboard?

The Smart Keyboard for my iPad Pro arrived today and I’ve done a quick bit of testing. As for the typing capabilities – not bad at all. The keyboard is pretty responsive to the fingers and well-spaced so even though it was unfamiliar to me, quite a fast speed can be reached and I guess I should get faster the more I use it.
Another plus, folded the keyboard isn’t as bulky on the front of the iPad as I had feared.
Does it turn the iPad into a laptop replacement?
I don’t think so just yet, but it will increase the utility to the point that the device can be used solo in more situations and for longer. iCloud could be the key, as storing documents remotely means a fairly high number of day-to-day uses could increasingly be covered by the Pro providing productivity software like Pages and Numbers continues to grow in sophistication.
Whether this combo amounts to value-for-money, though, is quite another question.

by Jim Muttram